Provides diagnostic communication capabilities never before available
The OptoShield OS3100 Laser Light Safety Scanner is an advanced area laser scanner with the unique ability to adapt to both dynamic and irregular hazardous environments. Designed and manufactured in the U.S., it introduces significant advancements over similar types of sensors with advanced diagnostic communications and superior interface office. Featuring two detection zone sets, which can be externally selected to monitor changing hazardous areas without the need for additional external controls, it also provides diagnostic communications never before available in safety scanners including: a two-digit numeric display, four standard LED status indicators and patented Intrusion Indicators identifying where the safety zone is encroached. It's suited for safeguarding hazardous work cells, transfer lines, robot stations, internal press guarding, irregular shaped or changing areas and automated guided vehicles.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.